File size: 1,090 Bytes
99db0e5
 
fbbf254
 
99db0e5
a337812
 
 
 
 
 
 
4f344ed
a337812
4f344ed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
---
license: creativeml-openrail-m
tags:
  - text-to-image
---
# VoxelArt model V1
This is the fine-tuned Stable Diffusion model trained on Voxel Art images.

Use **VoxelArt** in your prompts.

### Sample images:
![voxelart.jpg](https://s3.amazonaws.com/moonup/production/uploads/1668056713800-635749860725c2f190a76e88.jpeg)
Based on StableDiffusion 1.5 model

### 🧨 Diffusers

This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).

You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().

```python
from diffusers import StableDiffusionPipeline
import torch

model_id = "Fictiverse/Stable_Diffusion_PaperCut_Model"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "PaperCut R2-D2"
image = pipe(prompt).images[0]

image.save("./R2-D2.png")
```